• DocumentCode
    1725228
  • Title

    Gray modeling and tendency studying of Track and Field achievements of Olympics based on grey prediction theory

  • Author

    Huang Chang-mei ; Shen Wei-hua ; Xiao Xiao-cong

  • Author_Institution
    Inst. of Phys. Educ., Hunan Univ. of Sci. & Technol., Xiang tan, China
  • fYear
    2011
  • Firstpage
    419
  • Lastpage
    425
  • Abstract
    According to at the top three Olympic track and field sports performance, a GM (1,1) gray prediction model group is established combining with gray modeling methods, whose residual model test results shows that the forecasting model group has a high-precision. Additionally, this paper deeply analyzes the top three achievements´ trend of the 26th to the 29th Olympic Games Track and Field. Finally, the 30th London Olympic track and field results are predicted to serve the departments related to the preparing work for the next Olympic Games and to provide the theoretical basis and reference for decision-making.
  • Keywords
    decision making; forecasting theory; grey systems; sport; Olympics; decision making; forecasting model; gray modeling; gray prediction model; grey prediction theory; track and field achievements; track and field sports performance; Decision making; Legged locomotion; Materials; Prediction theory; Relays; Olympics; grey prediction; tendency analysis; top three achievements; track and field events;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044009
  • Filename
    6044009